10 pages., The smart farm, a future-oriented farm operation that integrates information and communications technologies, is an emerging trend in agriculture. This study investigates the factors affecting the adoption of the smart farm in Korea and analyzes them empirically. The research model is based on Rogers' innovation diffusion theory and existing models of adoption of information technology in organizations. The model proposes that adoption of innovative technology is influenced by relative advantages, complexity, and compatibility of the technology, the innovativeness and IT knowledge characteristics of the CEOs, financial costs, human resource vulnerability and lack of skills, competitive pressure, government support and the change to the digital environment. These factors were categorized according to TOE framework, investigated, and empirically tested using survey data to determine their influence on the adoption of smart farms. The results showed that the compatibility of technology, financial costs for the organization, and the digital environment change influence the adoption of smart farms. This study suggests practical implications for the adoption of smart farm technology based on the results.
12 pages., Via online journal., Policy makers and researchers foresee four investment strategies for conventional pig farmers in contested pork production regions: (1) continue with a cost-price reduction strategy through modernisation and scale enlargement; (2) convert to an intermediate market segment with higher requirements as to animal welfare and environment than conventional; (3) convert to a niche market segment with higher requirements as to animal welfare and environment than intermediate; or (4) quit farming. For policy makers, it is interesting to gain insight in intensive livestock farmer's perceptions regarding these investments and in processes of social interaction that influence farmer decision-making and the potential diffusion of investment strategies over time (Edwards-Jones, 2006). The aim of this explorative study is to analyse the effect of social interaction on diffusion of investment strategies in capital-intensive livestock production systems with groups of Dutch pig farmers, using a simulation game. The game is designed in such a way that contextual factors do not provide a limiting factor. Furthermore, the game is constructed to stimulate interaction and to trigger imagination of participants. Our main research questions for the analysis of the results of the game sessions were: (1) ‘what are differences in diffusion of investment strategies between sessions?’, and (2) ‘to what extent does social interaction affect diffusion of investment strategies?’ A total of seven sessions were played, with 4–8 pig farmers and/or participants who were affiliated to the sector as advisor or successor. All game sessions were video- and voice- recorded, and interaction between participants was transcribed per game session. First, differences in diffusion of investment strategies between sessions were explored. Second, the causes for differences in diffusion between sessions were explored, by looking at the type of investment strategy, communication between participants, and processes of influence. Special attention was given to the influence of opinion leadership. The results of this research show that (1) only investment strategies with a financial benefit did, under influence of social interaction, result in high adoption; (2) for high adoption to occur, communication between participants was necessary; (3) opinion leaders played an essential role in high adoption of investment strategies; and (4) there was a common understanding among participants that favoured scale enlargement. The gaming methodology triggered participants to communicate their tacit knowledge, i.e. assessment criteria that are important in real-life investment decisions, and to experiment with investment strategies.
